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The paper presents some results of the attempt on applying a PCA-based classifier for solving problem of morphological classification of galaxies according to the Hubble scheme. A variant of the PCA based classification method is adapted for solving the problem of galaxy image clustering. The performed tests pointed out that the first 24 principal components contain enough information to assure proper...
The reported work proposes a new algorithm for classification tasks, an algorithm based on independent directions of the sample data. The classes are learned by the algorithm using the information contained by samples randomly generated from them. The learning process is based on the set of class skeletons, where the class skeleton is represented by the independent axes estimated from data. Basically,...
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